| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Statistics II | ISF202 | Compulsory | Bachelor's degree | 2 | Spring | 6 |
Name of Lecturer(s)
Prof. Dr. Muhsin HALİS
Assistant Prof. Dr. Serdar YARLIKAŞ
Learning Outcomes of the Course Unit
1) Develop the null and alternative hypothesis.
2) Desing the appropriate statistical method.
3) Comment on the results of the applied method.
4) Explain the interval for population parameters.
5) Resolve the hypothesis for population parameters.
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | ||
| Learning Outcomes | |||||||||||
| 1 | High | High | Middle | Middle | Middle | Middle | Low | Low | High | Low | |
| 2 | High | High | Middle | Middle | Middle | Middle | Low | Low | High | Low | |
| 3 | High | High | Middle | Middle | Middle | Middle | Low | Low | High | Low | |
| 4 | High | High | Middle | Middle | Middle | Middle | Low | Low | High | Low | |
| 5 | High | High | Middle | Middle | Middle | Middle | Low | Low | High | Low | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
None
Course Contents
This course covers organization, presentation, summarization and interpretation of the data, basic properties and theories of probability, discrete and continuous probability distributions.
Weekly Schedule
1) Sampling and Sampling Distributions2) Sampling Distribution of Arithmetic Mean
3) Sampling Distribution of Sample Variance and Proportion
4) Interval Estimation and Sample Size for Population Mean, Proportion and Variance
5) Interval Estimation and Sample Size for Population Mean, Proportion and Variance
6) Hypothesis Testing
7) Hypothesis Testing
8) Midterm Examination/Assessment
9) Inference about Population Mean and Proportion
10) Inference about Population Mean and Proportion
11) Inference about Population Mean and Proportion
12) Compliance and Independence Tests
13) Compliance and Independence Tests
14) Simple Linear Regression
15) Simple Linear Regression
16) Final Examination
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Discussion
4) Drill and Practice
5) Self Study
6) Problem Solving
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
30% |
|---|---|
Contribution of Final Examination to Course Grade |
70% |
Total |
100% |
Language of Instruction
English
Work Placement(s)
Not Required